基于图像灰度值的碎纸片拼接复原  

Splice and Recovery of Scrapped Paper Based on Image Gray Value

作　　者：于翔[1] 肖翔[2] 江开忠[2] 杨厉丽 古晞[4] 

机构地区：[1]上海工程技术大学汽车工程学院,上海201620 [2]上海工程技术大学基础教学学院,上海201620 [3]上海市公安局松江分局,上海201600 [4]同济大学数学系,上海200092

出　　处：《上海工程技术大学学报》2015年第3期273-277,共5页Journal of Shanghai University of Engineering Science

基　　金：上海工程技术大学大学生创新训练计划资助项目(cx1306002);上海市大学生创新训练计划资助项目(cs1306001)

摘　　要：碎纸片的拼接复原在刑侦、军事等领域都有着重要的应用.通过Matlab软件读取每张碎纸片的灰度值,建立灰度值矩阵,根据左边缘空白距离最大原则和灰度匹配距离最小原则,建立碎纸片的拼接复原模型,并对模型进行求解,实现了碎纸片的自动拼接复原.Splice and recovery of scrapped paper plays an important role in the criminal investigation and military field. The gray value of each scrapped paper was read by Matlab software and a gray value matrix was established. Based on the principles of the maximum left marginal blank distance and the minimum gray matching distance,the splice and recovery model was established and solved,the goal of automatic splice and recovery was achieved.

关 键 词：碎纸片 拼接复原 灰度值矩阵 左边缘空白距离 灰度匹配距离 

分 类 号：O29[理学—应用数学]